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Top 4 Predictions For DevOps Success in 2019

DevOps has become a main focus and has been shaping the world of software for the last few years. It has evolved big time since many of us thought it was just a buzzword.

Many business organizations are adopting DevOps and there is an increase up to 17% in 2018 than what was about 10% in the year 2017.

DevOps 2018

What is DevOps?

The terms development and operations fused together make DevOps. It is meant to represent a collaborative or shared approach to the tasks performed by a company’s application development and IT operations teams.

The goal is to shorten the systems development life cycle while also delivering features, fixes, and updates frequently in close alignment with business objectives.

In this article, we will give you the top 4 trends that DevOps will see in 2019.

Security

DevOps has made testing possible during the developmental stages. This shift allows bugs to be spotted and fixed sooner.

Thinking security right from the beginning requires security to be built into software instead of being bolted on. Security is no more an add-on.

Mainstream DevOps will start treating security as code, making entire teams accountable from the earliest stages of the development lifecycle.

Artificial Intelligence & Machine Learning

AI and ML are perfect fits for a DevOps culture. They can process vast amounts of information and help perform menial tasks, freeing the IT staff to do more targeted work. Artificial Intelligence and Machine Learning can learn patterns, anticipate problems and suggest solutions.

Big Data

DevOps will see big data playing a significant role in 2019.

Building machine learning models is fundamentally different from traditional application development. Data scientists and developers use languages, libraries, toolkits, and development environments to evolve machine learning models.

DevOps teams will support data scientists by creating environments for data exploration and visualization.

Automation

2019 will be the year when adding automaton to the front end of the software delivery lifecycle will go mainstream. If possible, zero-touch automation is what the future is going to be.

Automation can help enterprises deliver on-premise services faster and reduce operational costs than public cloud.

AI and automation will change the software development process. Apps will be self-written and coded. Tasks such as integration, security, testing and deploying will be dictated by AI, data and machine learning in the all-new AIOps.

Serverless technology

We can expect a spike in adoption of serverless technologies in 2019. The emergence of cloud technologies and dependency on servers are decreasing dramatically. As a supplement to serverless architecture it will help the organization to achieve exceptional business agility.

Conclusion

DevOps will the culture, driving a need for more diverse skillsets. It is being quickly being adopted in enterprises all over the world. It has become a critical skillset for those in IT, especially for those who intend to master deployments in the cloud and improve the way their organizations make use of technology in this digital age.